Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zezhou Wang"'
Publikováno v:
IEEE Access, Vol 10, Pp 38650-38663 (2022)
Existing joint maintenance decision research typically ignores remaining useful lifetime (RUL) predictions for the accelerated degradation of equipment. A joint maintenance decision method for the replacement and spare-parts ordering strategy based o
Externí odkaz:
https://doaj.org/article/6ec09fec37b14a38a23088362446afa2
Publikováno v:
Journal of Systems Engineering and Electronics. 31:415-431
The value range of the failure threshold will generate an uncertain influence on the prediction results for the remaining useful life (RUL) of equipment. Most of the existing studies on the RUL prediction assume that the failure threshold is a fixed
Publikováno v:
Journal of Systems Engineering and Electronics. :194-205
Nonlinearity and implicitness are common degradation features of the stochastic degradation equipment for prognostics. These features have an uncertain effect on the remaining useful life (RUL) prediction of the equipment. The current data-driven RUL
Autor:
Zezhou, WANG1 (AUTHOR) 350276267@qq.com, Jian, Hou1 (AUTHOR), Jiantai, Zhu1 (AUTHOR), Liyuan, Wang1 (AUTHOR), Zhongyi, Cai2 (AUTHOR)
Publikováno v:
Measurement (02632241). Jul2024, Vol. 234, pN.PAG-N.PAG. 1p.
Publikováno v:
2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai).
In view of the few research on remaining useful lifetime (RUL) prediction based on accelerated degradation data of single equipment, an adaptive prediction method of RUL for single equipment based on accelerated degradation modeling is proposed in th
Publikováno v:
2019 Prognostics and System Health Management Conference (PHM-Qingdao).
A Wiener process based on field degradation data is used to describe the product degradation process. By integrating the accelerated degradation data of similar products with target-product field-measured degradation data, a new reliability assessmen
Publikováno v:
2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE).
The degradation of data and failure data is used to make the maintenance decision of equipment in this paper. Firstly, the Wiener process is used to build the degradation model which is according to the degradation data of the equipment. Then, the ra
Publikováno v:
2018 Prognostics and System Health Management Conference (PHM-Chongqing).
For the problem of remaining useful lifetime (RUL) prediction of nonlinear system, the existing methods have not systematically carried out the studies on nonlinear degradation modeling with measurement error and random effect, priori parameter estim
Publikováno v:
2015 First International Conference on Reliability Systems Engineering (ICRSE).
Aiming at nonlinear degradation data on occasion of Constant-Stress Accelerated Degradation Test (CSADT), a reliability assessment method of nonlinear accelerated degradation based on Wiener process is verified in consideration of individual performa
Remaining useful lifetime prediction for equipment based on nonlinear implicit degradation modeling.
Autor:
Zhongyi CAI1 afeuczy@163.com, Zezhou WANG1 wzz_4202@qq.com, Yunxiang CHEN1 cyx87793@163.com, Jiansheng GUO1 amisc@163.com, Huachun XIANG1 xhc09260926@163.com
Publikováno v:
Journal of Systems Engineering & Electronics. 2020, Vol. 31 Issue 1, p194-205. 12p.